Chamara Sandeepa

Rec-Def: A Recommendation-based Defence Mechanism for Privacy Preservation in Federated Learning Systems

November 19, 2023
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An emergence of attention and regulations on consumer privacy can be observed over the recent years with the ubiquitous availability of IoT systems handling personal data. Federated Learning (FL) arises as a privacy-preserved Machine Learning (ML) technique where data can be kept private within these devices without transmitting to third parties. Yet, many privacy attacks […]

From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification

November 19, 2023
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A wide adoption of Artificial Intelligence (AI) can be observed in recent years over networking to provide zero-touch, full autonomy of services towards the next generation Beyond 5G (B5G)/6G. However, AI-driven attacks on these services are a major concern in reaching the full potential of this future vision. Identifying how resilient the AI models are […]

Privacy-preserved Collaborative Federated Learning Platform for Industrial Internet of Things

November 19, 2023
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Federated learning (FL) is an intriguing approach to privacy-preserving collaborative learning. Decentralised FL is achieving increased favour for investigation due to the mitigation of vulnerability for a single point of failure and more controllability for end users over their models. However, many existing decentralised FL systems face limitations, such as privacy concerns, latency in aggregation, […]

FL-TIA: Novel Time Inference Attacks on Federated Learning

November 19, 2023
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Federated Learning (FL) is an emerging privacy-preserved distributed Machine Learning (ML) technique where multiple clients can contribute to training an ML model without sharing private data. Even though FL offers a certain level of privacy by design, recent works show that FL is vulnerable to numerous privacy attacks. One of the key features of FL […]

Privacy of the Metaverse: Current Issues, AI Attacks, and Possible Solutions

July 1, 2023
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Metaverse is a key emerging digital transformation concept for the next generation of cyberspace. It is expected to create a self-sustaining virtual ecosystem of fully immersive, real-time experiences with numerous opportunities for general users and industries to interact with the world. With the introduction of 6G networks and enabling technologies, the metaverse will achieve its […]

A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions

October 10, 2022
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Massive developments in mobile wireless telecommunication networks have been made during the last few decades. At present, mobile users are getting familiar with the latest 5G networks, and the discussion for the next generation of Beyond 5G (B5G)/6G networks has already been initiated. It is expected that B5G/6G will push the existing network capabilities to […]

Energy Efficient Contact Tracing and Social Interaction based Patient Prediction System for COVID-19 Pandemic

October 20, 2021
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Due to the spread of Coronavirus disease 2019 (COVID-19), the world has encountered an ongoing pandemic to date. It is a highly contagious disease. In addition to the vaccination, social distancing and isolation of patients are proven to be one of the commonly used strategies to reduce the spread of disease. For efficient social distancing, […]

Security enhanced Emergency Situation Detection System for Ambient Assisted LivingSystem for Ambient Assisted Living

July 20, 2021
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Typical wearable devices use a dedicated mobile phone as relay node to transfer the collected sensor data toa server. However, such relay nodes can be faulty or inactive due to various reasons, leading to interruptions of the communication link. To mitigate this challenge, we propose anovel security-enhanced emergency situation detection system, where 3rd party unknown […]

Social Interaction Tracking and Patient Prediction System for Potential COVID-19 Patients

September 20, 2020
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Coronavirus disease 2019 (COVID-19) virus is an infectious disease which has spread globally since 2019, resulting in an ongoing pandemic. Since it is a new virus, it takes some time to develop a vaccine against it. Until then, the best way to prevent the fast spread of the virus is to enable the proper social […]

An Emergency Situation Detection System for Ambient Assisted Living

June 26, 2020
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This paper proposes “An Emergency Situation Detection System for Ambient Assisted Living (AAL)”, to support elderly people and patients with chronic conditions and potential health-related emergencies to live independently. It implements an Internet of Things (IoT) network that continuously monitors the health conditions of these people. The network includes mobile phones, to transmit the data […]